Compare Nosql Technologies

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Can distributed caching be used as a NoSQL database?

(Author Srini penchikala translator Dingxuefeng) for non-relational data types such as documents, object graphs, and key-value pairs, the NoSQL database provides them with an alternative way to store data. Can distributed caching be used as a NoSQL database? Ehcache's Greg Luck author describes the similarity between distributed caching and NoSQL databases. Infoq interviewed him and discussed the pros and cons of the scheme. InfoQ: Can you do a distributed caching solution with the NoSQL database ...

MongoDB Alliance Cloudera wants to conquer big data market

MongoDB and Cloudera, respectively, are heavyweight companies in the NoSQL and Hadoop markets.   Recently, two companies have proposed to share marketing and sales channels, claiming that there is only one purpose: to provide customers with large data solutions to eliminate customer concerns. MongoDB is a successful database supplier in the NoSQL market, and Cloudera is also a leading company in the Hadoop market, and two companies recognize that customers are still confused about big data, and if they can remove these concerns for customers, provide customers with a complete ...

The future of mass storage--memory cloud

The fastest way to store a computer system is the ram traditionally used primarily as memory. As the access performance of the hard drive has deteriorated over the years, and the cost of RAM has been decreasing, many researchers have been exploring how to replace the hard disk with memory in recent years. As early as the 1980, David DeWitt and Garcia-molina and so on published a main memory database paper. Steven Robbins's article points out that the Turing Prize winner, Jim Gray, is more explicit about the idea that "memory will be a hard drive and the hard drive will become a tape."

Chenhao: The performance technology of Web site caused by 12306.cn

Intermediary transaction SEO diagnosis Taobao Guest Cloud mainframe technology hall with the advent of the 11 long holiday, everyone to the Ministry of Railways 12306 of the discussion again. This article (original) from 12306 website extension to the site performance of a lot of discussion, for entrepreneurs and technology enthusiasts have a strong reference.   The author Chenhao (Weibo) has 14 years of experience in software development, 8 years of project and team management experience. 12306.cn website Hung, was scolded by the people all over the country. I've been here for two days.

"Big Data Automation Management" is more of a fire than big data.

Now everyone is talking about big data, but in fact, much of the talk is too exaggerated. Employment data show that large numbers seem to be needed by corporate recruiters. However, more data suggest that companies do not know what to do with these big data professionals. However, more important than large data itself is the analysis and management of large data. This trend is allowing server Automation configuration system tools to emerge in large numbers. Puppet is the power behind the "DevOps" trend. As dice.com data shows, Puppet is a tidal wave ...

10 open source projects to help cloud computing

Judging from the recent negative reports from Http://www.aliyun.com/zixun/aggregation/18224.html's > Market research firm Gartner and Zenoss, it seems that the time has come to "denigrate the open source cloud". For those who are quick to point the finger at the lack of market share in these technologies, it is best to remember that there is no cloud computing without open source. Let's take a look at these 10 open source projects that help cloud computing. Open Source Paas:cl ...

Analysis of the relationship between large data and Hadoop

Henry and I are working on an examination of the big data and its true meaning. Large data is a popular language. As with many popular words, the word "big data" is a bit overused, but it contains some real usability and technology.   We decided to analyze the big data on this topic and try to find out the authenticity of it and what they mean to storage solutions. Henry started this series with a good introduction. His definition of big data is the best definition I have ever seen. So I'm going to repeat this definition: Big data is turning data into information ...

Java Developer Prerequisites: PAAs Solution Inventory

PaaS (Platform-as-a-service) is a kind of cloud service, the service provider not only provides on-demand hardware and operating system services, but also provides the application platform and solution stack. For developers, PAAs greatly reduces the cost and pain of it deployments, providing resources for applications to scale more easily as needed. JVMs, application servers, and deployment packages (for example, war and ear) provide natural isolation for Java applications, allowing different developers to deploy applications in the same infrastructure, so JAV ...

Xiaoman Technology: Delivering SaaS services and productivity tools to enterprises through cloud computing

Xiaoman, one of China's Shiber. Every year from May 20 to 22nd, the sun reaches the yellow-diameter 60° as Xiaoman. The implication is that the grains of the Shahi crop begin to grout plump. Xiaoman season, everything is vigorous, rapid growth, breeding infinite hope. Shenzhen Xiaoman Technology Co., Ltd. (Xiaoman Technology) is an innovative Internet company designed to provide SaaS services and productivity tools for businesses through cloud computing. Mainly for small and medium-sized enterprises, to help customers improve their enterprise management level, improve sales force, resulting in sustained growth in performance, so that enterprises more onstage ...

How do I pick the right big data or Hadoop platform?

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

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